Anna Goldie is the co-founder and CEO of Ricursive Intelligence, a frontier AI lab building the AI stack that designs, verifies, and closes silicon. With Azalia Mirhoseini she co-created AlphaChip, the reinforcement-learning system that laid out multiple generations of Google's TPUs in hours instead of months. A Senior Staff Research Scientist at Google DeepMind and an early contributor to work at Anthropic, she holds dual bachelor's degrees in computer science and linguistics plus a master's from MIT and a PhD from Stanford. Launched in 2025, Ricursive raised $335M across seed and Series A within four months, reaching a $4B valuation backed by Sequoia, Lightspeed, and Nvidia.
Ricursive Intelligence is a Palo Alto frontier AI lab using artificial intelligence to compress the slow, expensive process of semiconductor design. Founded in late 2025 by Anna Goldie and Azalia Mirhoseini, the co-creators of Google's AlphaChip, the company is building an end-to-end AI model that designs, verifies and closes silicon, aiming to create a recursive loop where AI designs better chips and those chips train better AI. It raised $335M across seed and Series A rounds, reaching a $4B valuation roughly two months after launch.

Azalia Mirhoseini is an Iranian-born AI researcher, Stanford professor, and co-founder of Ricursive Intelligence - a frontier AI lab valued at $4 billion that uses AI to design better chips, which in turn train stronger AI. Best known for AlphaChip, the deep reinforcement learning system that now designs Google's TPUs and has compressed chip floorplanning from months to hours, she also co-invented the Mixture-of-Experts architecture underpinning GPT, Claude, and Gemini. With 20,000+ citations and a $335M-funded startup launched in under four months, she is closing the recursive loop between artificial intelligence and the hardware it runs on.